Machine-learning prediction of unplanned 30-day rehospitalization using the French hospital medico-administrative database

Predicting unplanned rehospitalizations has traditionally employed logistic regression models. Machine learning (ML) methods have been introduced in health service research and may improve the prediction of health outcomes. The objective of this work was to develop a ML model to predict 30-day all-c...

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Detalles Bibliográficos
Autores principales: Jaotombo, Franck, Pauly, Vanessa, Auquier, Pascal, Orleans, Veronica, Boucekine, Mohamed, Fond, Guillaume, Ghattas, Badih, Boyer, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
Materias:
6600
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717815/
https://www.ncbi.nlm.nih.gov/pubmed/33285668
http://dx.doi.org/10.1097/MD.0000000000022361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717815/
https://www.ncbi.nlm.nih.gov/pubmed/33285668
http://dx.doi.org/10.1097/MD.0000000000022361

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